scholarly journals Factors affecting weekday-to-weekend sleep differences among Korean adolescent students: Focus on extracurricular tutoring time

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259666
Author(s):  
Jin-Won Noh ◽  
Young Dae Kwon ◽  
Jooyoung Cheon ◽  
Jinseok Kim
Keyword(s):  
Repeated Measures ◽  
Structural Equation ◽  
Private Tutoring ◽  
Sem Analysis ◽  
Self Report ◽  
Equation Modeling ◽  
Multilevel Regression ◽  
Korean Children ◽  
Factors Affecting ◽  
Adolescent Students

Objectives Discrepancy in weekday-weekend sleep induces negative effects on physical health, obesity, psychological disorders, and academic performance; this particularly affects adolescent students through extracurricular tutoring, including evening self-study, private tutoring, and home studies. The present research aimed to clarify sociodemographic and economic factors, including extracurricular tutoring time, associated with weekday-to-weekend sleep differences using longitudinal data. Study design Data from the Korean Children and Youth Panel Survey (KCYPS) data were analyzed. Weekday-to-weekend sleep differences and extracurricular tutoring, as well as other covariates, were measured using adolescent’s self-report questionnaires. Multilevel regression and structural equation modeling (SEM) of repeated measures were used to test the hypothesized relationship between variables. Results The time spent in weekly extracurricular tutoring was negatively associated with weekday-to-weekend sleep differences. However, increased tutoring time was positively associated with bedtime, and bedtime was in turn positively associated with differences in Korean adolescents’ weekday-to-weekend sleep patterns. The SEM analysis result showed a significant indirect effect of tutoring time on sleep differences via bedtime. Conclusions Limiting weekly extracurricular tutoring time is important to early bedtime and reducing weekday-to-weekend sleep pattern differences. Policymakers should develop alternatives to private tutoring to improve the sleep duration and reduce weekday-to-weekend sleep differences among adolescents.

End-Users’ Acceptance of Biometrics Authentication to Secure E-Commerce within the Context of Saudi Culture

2013 ◽  
pp. 1356-1376
Author(s):  
Fahad AL Harby ◽  
Rami Qahwaji ◽  
Mumtaz Kamala
Keyword(s):  
Structural Equation ◽  
Large Scale ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Moderating Variables ◽  
Use Of Technology ◽  
Moderating Factors ◽  
Education Levels ◽  
Scale Experiment

This book study presents recent findings from an ongoing cross-cultural study exploring the acceptance of a new security method based on biometrics authentication systems to be applied to an e-commerce application within the context of Saudi culture. The aim of the study was to explore factors affecting users’ acceptance of biometrics authentication system. The authors conducted a large scale experiment of 306 Saudis using a login fingerprint system and examined a proposed conceptual framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with moderating variables. The findings from Structural Equation Modeling (SEM) analysis indicate that education levels are significant moderating factors, while gender and age do not record as significant. The findings of this study propose the need to take cultural background and disposition into consideration when applying biometrics technology.

scholarly journals PLS-SEM Analysis to Know Factors Affecting The Interest of Buying Halal Food in Muslim Students

Jurnal Varian ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 141-152
Author(s):  
Cindy Cahyaning Astuti
Keyword(s):  
Structural Equation ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Muslim Students ◽  
Factors Affecting ◽  
Culinary Tourism ◽  
Value Perception ◽  
Analysis Process ◽  
Analysis Technique ◽  
Halal Food

The increase of halal food products has led to increase in culinary tourism in recent years. One of the districts that has experienced a rapid increase in culinary tourism is Sidoarjo Regency. The development of culinary tourism in the last few years in Sidoarjo Regency generally targets are the students. This study will aim to determine the factors that influence the interest in buying halal food and what factors have the greatest influence on the interest in buying halal food. The analysis technique uses the Partial Least Squares Structural Equation Modeling (PLS-SEM. Based on the results of the analysis, it is known that of the 5 predictor variables used in the analysis process, there are 4 variables that have a significant effect on Purchase Interest (Y). It can be concluded that increasing of Halal Awareness (X1), Halal Certification (X2), Health (X3) and Value Perception (X5) will further increase Purchase Interest (Y). Meanwhile, based on value of coefficient on each variable, it is known that Health  (X3) has the largest coefficient value (0.260), so it can be concluded that Health (X3) has the greatest influence on Purchase Interest (Y).

Key Factors of Community Based Biomass Power Plant Establishment

2016 ◽  
Vol 839 ◽  
pp. 75-80 ◽  
Author(s):  
Krittaphas Mongkoldhumrongkul ◽  
Prapita Thanarak
Keyword(s):  
Power Plant ◽  
Structural Equation ◽  
Power Plants ◽  
Local Community ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Key Factors ◽  
Community Based ◽  
Factors Affecting ◽  
Biomass Power Plant

Biomass plays an important role in reducing fossil energy. It can be utilized in different ways and one of its usages is to produce electricity. However, to benefit from the gains of using biomass power generation, there are several obstacles to overcome for its competent utilization. The performance of community based biomass power plants (CBP) was studied to access the feasibility and sustainability aspects that caused energy security. The objective of this study was to identify the key factors affecting to CBP establishment. The authors designed the tests to make a comprehensive study considering all the factors published in the Science Direct Database during January 2004 to September 2014. The data was obtained using multi-stage sampling from 1,151 people dwelling in the local community. A questionnaire was used as a tool for collecting the data. The output factors were confirmed by undertaking the Structural Equation Modeling (SEM) analysis. The results show a significant influence on 1) technology of biomass gasification power plant; 2) biomass residues; 3) community; and 4) government, policy and investment at p < 0.05. These findings therefore identified the key factors affecting establishment for biomass electricity generation in Thailand. This in turn has helped bring about the causal model for establishing biomass power plant based on sustainability.

scholarly journals Social and Psychological Factors Associated With Adolescent Physical Activity

2016 ◽  
Vol 13 (9) ◽  
pp. 957-963 ◽  
Author(s):  
Jeanette M. Garcia ◽  
John R. Sirard ◽  
Ross Larsen ◽  
Meg Bruening ◽  
Melanie Wall ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Psychological Factors ◽  
Structural Equation ◽  
Perceived Social Support ◽  
Cross Sectional Study ◽  
Sem Analysis ◽  
Self Report ◽  
Equation Modeling ◽  
Cross Sectional

Objective:The purpose of this study was to examine, using structural equation modeling, the associations between nominated friend physical activity (PA), friend social support with individual PA-related psychological factors, and adolescent PA.Methods:Data were obtained from EAT 2010 (Eating and Activity Among Teens), a large cross-sectional study conducted in 20 middle and high schools. The sample consisted of 1951 adolescents (mean age: 14.25 ± 1.96, 54% female, 68% ethnic minorities). PA, parent and friend social support (perceived social support for PA from parents and friends), and psychological measures (PA enjoyment, PA self-efficacy, and PA barriers) were assessed by self-report questionnaires. The SEM analysis consisted of 1 observed variable: friend PA, and 2 latent constructs: psychological factors, perceived social support.Results:The model was a good fit, indicating that there were significant direct effects of both friend PA (P < .01) and psychological factors (P < .0001) on adolescent PA. In addition, psychological factors mediated the association between friend PA and adolescent PA.Conclusion:The results of this model suggest that psychological factors and friend PA are associated with adolescent PA, and that psychological factors may play an important role. Future studies should further examine the association of both friend PA and psychological variables with adolescent PA.

End-Users’ Acceptance of Biometrics Authentication to Secure E-Commerce within the Context of Saudi Culture

2012 ◽  
pp. 225-246 ◽  
Author(s):  
Fahad AL Harby ◽  
Rami Qahwaji ◽  
Mumtaz Kamala
Keyword(s):  
Structural Equation ◽  
Large Scale ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Moderating Variables ◽  
Use Of Technology ◽  
Moderating Factors ◽  
Education Levels ◽  
Scale Experiment

This book study presents recent findings from an ongoing cross-cultural study exploring the acceptance of a new security method based on biometrics authentication systems to be applied to an e-commerce application within the context of Saudi culture. The aim of the study was to explore factors affecting users’ acceptance of biometrics authentication system. The authors conducted a large scale experiment of 306 Saudis using a login fingerprint system and examined a proposed conceptual framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with moderating variables. The findings from Structural Equation Modeling (SEM) analysis indicate that education levels are significant moderating factors, while gender and age do not record as significant. The findings of this study propose the need to take cultural background and disposition into consideration when applying biometrics technology.

scholarly journals The Association Between Cyberbullying, School Bullying, and Suicidality Among Adolescents

Crisis ◽  
2019 ◽  
Vol 40 (2) ◽  
pp. 100-114 ◽  
Author(s):  
Apolinaras Zaborskis ◽  
Gabriela Ilionsky ◽  
Riki Tesler ◽  
Andreas Heinz
Keyword(s):  
Suicidal Behavior ◽  
Structural Equation ◽  
Strong Predictor ◽  
International Comparisons ◽  
School Bullying ◽  
Sem Analysis ◽  
Self Report ◽  
Equation Modeling ◽  
Negative Effects ◽  
School Aged Children

Abstract. Background: Bullying and suicidality are serious worldwide problems with negative effects on the young population and therefore international comparisons in this field are of paramount importance. Aims: To analyze the prevalence of bullying and cyberbullying and their association with suicidal behavior among school-aged children in Israel, Lithuania, and Luxembourg. Method: In total, 3,814 15-year-olds from schools in Israel, Lithuania, and Luxembourg were surveyed in the Health Behavior in School-Aged Children (HBSC) cross-national survey in 2013/2014 using standardized anonymous questionnaires. Data analysis employed logistic regression and structural equation modeling (SEM). Results: In all, 6.5% of the adolescents reported being cyberbullied, 15.6% reported being bullied at school. In the previous 12 months, 38.6% reported experiencing emotions that stopped them from doing their usual activities, 17.8% considered attempting suicide, 12.0% made a suicide plan, and 9.5% attempted suicide. Victims of cyberbullying and school bullying had a significantly higher risk of suicidal ideations, plans, and attempts. The SEM analysis confirmed a significant overall effect of bullying on adolescent suicidality. The strongest effect was seen among Israeli students. Limitations: The prevalence estimates were obtained by self-report. Conclusion: The prevalence of adolescent cyberbullying, school bullying, and suicidal behavior is relatively high in Israel, Lithuania, and Luxembourg. Cyberbullying is a strong predictor of adolescent suicidality.

scholarly journals A STUDY OF FACTORS AFFECTING SCIENCE ACHIEVEMENTS OF JUNIOR HIGH SCHOOL FEMALE STUDENTS

2019 ◽  
Vol 18 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Chun-Chu Liu ◽  
Tse-Yu Wang
Keyword(s):  
Junior High School ◽  
Structural Equation ◽  
Science Achievement ◽  
Mutual Effect ◽  
Sem Analysis ◽  
Female Students ◽  
Equation Modeling ◽  
Fit Indices ◽  
Factors Affecting ◽  
Two Factors

This research was the first research integrating decision making trial and evaluation laboratory (DEMATEL) and structural equation modeling (SEM) to analysis factors, including interest in science, value in science and confidence in science, affecting female students’ science achievements from the Trends in International Mathematics and Science Study (TIMSS) 2011. The research constructed two causal models base on mutual effect of value in science and confidence in science by DEMATEL analysis. The causality of two factors in model 1 was value in science affected confidence in science and model 2 vice versa. According to the results of SEM analysis, fit indices of CFI, GFI and AGFI in model 1 were 0.851, 0.796 and 0.745; in model 2 were 0.818, 0.772, and 0.873. And results showed that female students had better fitness in model 1; in other words, the causality of value in science to confidence in science might have an important effect on the science achievement of female students. Lastly, these findings could provide not only a different perspective for future researches but also a useful insight as a reference for policy making and improvement by relevant decision makers.

scholarly journals Factors affecting students’ choice of educational administration major: Why do students join the program?

2021 ◽  
Vol 10 (4) ◽  
pp. 1125
Author(s):  
Didik Wardaya ◽  
Lantip Diat Prasojo ◽  
Sugiyono Sugiyono
Keyword(s):  
Factor Analysis ◽  
Educational Administration ◽  
Structural Equation ◽  
Behavioral Control ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Study Program ◽  
Factors Affecting ◽  
Educational Stakeholders

<p>The study examined factors affecting Behavioral Intention (BI) regarding students’ choice of educational administration as their major. Samples were taken from Indonesian students. The process was begun with the adaptation of survey instruments from previous studies validated through content validity. In testing the normality, Skewness and Kurtosis values were computed. Reliability assessment was applied through Cronbach’s alpha. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were both conducted for the constructs. In examining the relationship, Structural Equation Modeling (SEM) analysis using AMOS 23.0 was applied to 257 responses. The findings informed that two relationships were significant while the other two are insignificant. Perceived Behavioral Control (PBC) and Attitude (AT) significantly predicted BI, while Subjective Norm (SN) and Facilitating Condition (FC) did not significantly predict BI. The current study can expand an in-depth contribution and reference for further researchers as a basis of the empirical evidence in relation to the validated survey questionnaire. Access to the questionnaire may contribute to educational stakeholders establishing policies to improve students’ interests in studying in an educational administration study program.</p>

One Size Fits All?

Methodology ◽  
2012 ◽  
Vol 8 (1) ◽  
pp. 23-38 ◽  
Author(s):  
Manuel C. Voelkle ◽  
Patrick E. McKnight
Keyword(s):  
Repeated Measures ◽  
Structural Equation ◽  
Type I Error ◽  
Equation Modeling ◽  
Type I ◽  
Finite Sample ◽  
Traditional Methods ◽  
Repeated Measures Anova ◽  
Special Cases ◽  
Latent Curve

The use of latent curve models (LCMs) has increased almost exponentially during the last decade. Oftentimes, researchers regard LCM as a “new” method to analyze change with little attention paid to the fact that the technique was originally introduced as an “alternative to standard repeated measures ANOVA and first-order auto-regressive methods” (Meredith & Tisak, 1990, p. 107). In the first part of the paper, this close relationship is reviewed, and it is demonstrated how “traditional” methods, such as the repeated measures ANOVA, and MANOVA, can be formulated as LCMs. Given that latent curve modeling is essentially a large-sample technique, compared to “traditional” finite-sample approaches, the second part of the paper addresses the question to what degree the more flexible LCMs can actually replace some of the older tests by means of a Monte-Carlo simulation. In addition, a structural equation modeling alternative to Mauchly’s (1940) test of sphericity is explored. Although “traditional” methods may be expressed as special cases of more general LCMs, we found the equivalence holds only asymptotically. For practical purposes, however, no approach always outperformed the other alternatives in terms of power and type I error, so the best method to be used depends on the situation. We provide detailed recommendations of when to use which method.

Factors Affecting the Use and Consequences of Management Accounting Practices in A Transitional Economy: The Case of Vietnam

2016 ◽  
pp. 54-73 ◽  
Author(s):  
Anh Doan Ngoc Phi
Keyword(s):  
Significant Influence ◽  
Quantitative Data ◽  
Structural Equation ◽  
Qualitative Data ◽  
Management Accounting ◽  
Transitional Economy ◽  
Equation Modeling ◽  
Enterprise Performance ◽  
Factors Affecting

This study seeks to help fill an important gap in the literature by investigating factors that have facilitated the use of management accounting practices (MAPs) in Vietnam - a transitional economy. Data were collected from 220 medium-to-large enterprises. Follow-up interviews were conducted with 20 accounting heads/vice heads to obtain further information and clarification. The quantitative data collected was analyzed using both descriptive and inferential statistics (including t-tests and structural equation modeling), while the qualitative data was used to shed further light on the various relationships described by the quantitative analysis. This paper reveals that both decentralization and competition have a positive, significant influence on the use of new MAPs except for the old ones. Consequently, the use of MAPs has a positive, significant influence on enterprise performance.

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